An algorithm is a well-defined computational procedure that takes some value as input and generates some value as output. In simple words, it is a sequence of computational steps that converts the input into the output.
Here is a curated list of Top 14 Books for Algorithm and Data structure training that should be part of any developer's library.
Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles" is a book written by Narasimha Karumanchi.
There are many different solutions for each issue, and the book is coded in C/C++. The book comes handy as an interview and exam guide for computer scientists.
This Algorithm book offers solutions to various complex data structures and algorithmic problems. This reference book also serves as a guide to prepare for interviews, exams, and campus work.
Introduction to Algorithms book includes a wide range of algorithms in depth. Every chapter of this book is relatively self-contained and can be used as a study material. The algorithms are described in this book in English and pseudocode.
The book offers treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow. The learning material also provides many exercises, problems, and solutions.
Algorithms is a book written by Robert Sedgewick and Kevin Wayne. This book covers all the most important computer algorithms currently in use.
The book teaches you searching, sorting, graph processing, and string processing. This tutorial book includes algorithms every programmer should know. It is enabling people all around the world to discover new ways of learning and teaching.
The Master Algorithm is a book written by Pedro Domingos. The book gives us a peek inside the learning machines that power Google, Amazon, and your smartphone. The book Master Algorithm--and discusses what it will mean for business, science, and society.
The book includes topics like The Machine-Learning Revolution, The Master Algorithm, Learning without a Teacher, etc.
Grokking Algorithms is written by Aditya Bhargava. In this tutorial book, you will learn how to apply common algorithms to the practical programming problems you face each day. You can start with tasks like sorting and searching.
The book helps you to tackle more complex issues like data compression and artificial intelligence. Each presented example includes helpful diagrams and fully annotated code samples in Python. At the end of this book, you can learn about the applicable algorithms and when to use them.
Algorithm Design Manual is a book written by Steven S S. Skiena. This book now serves as one of the ideal reference books for any algorithm design course. It helps you to maintain your status as the premier practical reference guide to algorithms. This best-selling classic take the "mystery" out of designing algorithms and analyzing their efficiency.
Data Structures and Algorithms in Java is a book written by Robert Lafore. The book is designed to be easy to read and understand, although the topic itself is complicated.
The book offers clear and simple example programs. You will also get a workshop as a one small demo program executable on a Web browser.
Moreover, the programs demonstrate in this book are in graphical form what data structures look like and how they operate
Hello World book is written by Hannah Fry. It is the necessary preparation for the moral difficulties of a world run by code. Hannah Fry takes us on a tour of the good, the bad, and the downright ugly of the algorithms that surround us.
Algorithms Illuminated is a book written by Tim Roughgarden. The book includes solutions to all quizzes and selected problems, and a series of YouTube videos by the author accompanies the book.
Part 1 covers asymptotic analysis and big-O notation, divide-and-conquer algorithms, and the master method, randomized algorithms. The book ends with several famous algorithms for sorting and selection.
Algorithm Design is a book written by Jon Kleinberg. The book teaches students a range of design and analysis techniques. This method helps them to solve problems that arise while performing in computing applications.
This algorithm book also explains the design process and the role of algorithms. The book includes topics like Basic of Algorithm Analysis, Divide and Conquer, Dynamic Programming, Network flow, etc.
An algorithm is a book written by Sanjoy Dasgupta. The book teaches you the fundamentals of algorithms in a storyline that makes the material enjoyable and easy to digest.
The book emphasis is understanding the mathematical idea behind each algorithm. It helps you to learn this subject intuitively without the need to become unduly formal.
The book includes descriptions of algorithms that are used and excursions for the mathematically sophisticated. This Algorithm book offers a Solutions Manual, which is available on the Online Learning Centre.
In Algorithms Unlocked is a book written by Thomas Cormen. It provides a general explanation with limited mathematics, of how algorithms enable computers to solve problems.
You will also find simple methods to search for information on a computer. In this book, you will learn the basic principles behind cryptography and the fundamentals of data compression. The book includes many complex problems and its solution in a reasonable amount of time.
Problem-Solving with Algorithms and Data Structures Using Python is written by Bradley N. Mille. It is also about Python, along with the study of algorithms and data structures. It is central to understanding that computer science is all about. Learning computer science is not never about learning any other type of subject matter.
This book is designed us serve as a text for the first course on data structures and algorithms. The book also covers abstract data types and data structures, writing algorithms, and solving problems.
Algorithms, in a Nutshell, is a book written by George T. Heineman. The book helps you to create robust software that requires the use of efficient algorithms. However, programmers often think about them until a problem occurs. This book includes a large number of existing algorithms for solving a variety of issues.
The book helps you select and implement the right algorithm for your need with just enough math. It allows you to understand and analyze algorithm performance.